Quantitative data refers to

Quantitative data refers to

• A. data that is collected from field notes
• B. information about attitudes and beliefs
• C. information that can be quantified, that is, expressed in numbers
• D. information about opinions

Answer: (C)

Quantitative data refers to information that can be quantified, that is, expressed in numbers. This includes measurements, counts, scores, or any data that can be analyzed statistically and shown in charts or graphs. For example, sales figures, heights, test scores, or temperatures are quantitative because they have numeric values that can be added, averaged, and compared. In contrast, qualitative data describe qualities or characteristics and are usually in words—such as attitudes, beliefs, opinions, or field notes. These are descriptive and not expressed numerically, so they’re analyzed differently. That’s why the option describing information that can be quantified and expressed in numbers best fits quantitative data.

Quantitative data refers to information that can be quantified, that is, expressed in numbers. This includes measurements, counts, scores, or any data that can be analyzed statistically and shown in charts or graphs. For example, sales figures, heights, test scores, or temperatures are quantitative because they have numeric values that can be added, averaged, and compared.

In contrast, qualitative data describe qualities or characteristics and are usually in words—such as attitudes, beliefs, opinions, or field notes. These are descriptive and not expressed numerically, so they’re analyzed differently. That’s why the option describing information that can be quantified and expressed in numbers best fits quantitative data.